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The document you uploaded appears to be related to a math problem about correlation, causation, and linear regression, focusing on the relationship between flight distance and travel cost.

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The scatterplot shows the ticket cost T ($) and distance D (miles) for a variety of airplane flights. The equation of the trendline is: T = 458 + 0.15D. Based on what you observe in the scatterplot, are the variables 'flight distance' and 'travel cost' positively correlated, negatively correlated, or uncorrelated? Write a complete sentence to explain your choice. In your sentence, use directional words like increase and decrease. If there is a correlation, state whether you think it is probably due to coincidence, common cause, or cause-and-effect. Write a complete sentence to explain your choice. Identify the initial value and growth rate of the trendline (including units) and write a complete sentence that interprets the meaning of each. Use the equation of the trendline to predict the cost of a ticket for a flight that is 892 miles long. Was this real-life ticket price higher or lower than the one you predicted?

Learn how to analyze the relationship between flight distance and travel cost using linear regression. This problem involves interpreting a trendline equation and predicting ticket costs based on distance. Suitable for students in Grades 10-12, covering key concepts such as correlation, causation, and trendline analysis.

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